Table of Contents

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  1. Preface
  2. Transformations
  3. Source transformation
  4. Target transformation
  5. Aggregator transformation
  6. Cleanse transformation
  7. Data Masking transformation
  8. Data Services transformation
  9. Deduplicate transformation
  10. Expression transformation
  11. Filter transformation
  12. Hierarchy Builder transformation
  13. Hierarchy Parser transformation
  14. Hierarchy Processor transformation
  15. Input transformation
  16. Java transformation
  17. Java transformation API reference
  18. Joiner transformation
  19. Labeler transformation
  20. Lookup transformation
  21. Machine Learning transformation
  22. Mapplet transformation
  23. Normalizer transformation
  24. Output transformation
  25. Parse transformation
  26. Python transformation
  27. Rank transformation
  28. Router transformation
  29. Rule Specification transformation
  30. Sequence Generator transformation
  31. Sorter transformation
  32. SQL transformation
  33. Structure Parser transformation
  34. Transaction Control transformation
  35. Union transformation
  36. Velocity transformation
  37. Verifier transformation
  38. Web Services transformation

Transformations

Transformations

Connections in a Data Masking transformation

Connections in a Data Masking transformation

To use a custom dictionary connection or storage connection in a masking technique, you must add the connection to the Data Masking transformation.
You can use custom flat file or relational dictionaries. Unique substitution masking techniques also require a storage connection for source- to dictionary-value mapping.
Add the connections on the
Masking Rules
tab of the data masking transformation. When you configure a masking technique for a column, you can use the dictionaries and storage connection that you specify on the Masking Rules tab.
The following connection fields appear on the Masking Rules tab:
  • Relational Dictionary Connection
  • Flat File Dictionary Connection
  • Storage Connection
If you export a mapping created before the April 2022 release, the Data Masking transformation in the mapping might not include the dictionary and storage connection information. When you import the mapping, the fields appear blank. To avoid this issue when you import the mapping into an environment with the April 2022 release or later, open and save the mapping before you export the mapping. The exported mapping displays the dictionary and storage connection information when imported. The connections also appear on the
Uses
tab of the
Show Dependencies
page.
You might need to make a change to the mapping to enable the
Save
button.

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